Triple
T29510543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hephaesteum |
E748635
|
entity |
| Predicate | hasFriezeDepicting |
P9591
|
FINISHED |
| Object | Labours of Heracles |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Labours of Heracles | Statement: [Hephaesteum, hasFriezeDepicting, Labours of Heracles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFriezeDepicting Context triple: [Hephaesteum, hasFriezeDepicting, Labours of Heracles]
-
A.
hasFrieze
chosen
Indicates that one entity features or is adorned with a frieze associated with another entity.
-
B.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
C.
appearsInWorkOfArt
Indicates that an entity is depicted, represented, or otherwise featured within a particular work of art.
-
D.
hasFrescoes
Indicates that something contains or is adorned with fresco paintings as part of its structure or decoration.
-
E.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 28, 2026, 4:32 p.m.